Public Face Recognition used to dox Porn Actresses in Russia

If the founders of a new face recognition app get their way, anonymity in public could soon be a thing of the past. FindFace, launched two months ago and currently taking Russia by storm, allows users to photograph people in a crowd and work out their identities, with 70% reliability.

It works by comparing photographs to profile pictures on Vkontakte, a social network popular in Russia and the former Soviet Union, with more than 200 million accounts. In future, the designers imagine a world where people walking past you on the street could find your social network profile by sneaking a photograph of you, and shops, advertisers and the police could pick your face out of crowds and track you down via social networks.

From the start, FindFace has raised privacy concerns. (Even in his glowing recommendation, Mima addressed fears that the service further erodes people’s freedoms in the age of the Internet.) In early April, a young artist named Egor Tsvetkov highlighted how invasive the technology can be, photographing random passengers on the St. Petersburg subway and matching the pictures to the individuals’ Vkontakte pages, using FindFace. “In theory,” Tsvetkov told RuNet Echo, this service could be used by a serial killer or a collector trying to hunt down a debtor.”

Hoping to raise concerns about the potential misuses of FindFace, Tsvetkov seems to have inspired a particularly nasty effort to identify and harass Russian women who appear in pornography. On April 9, three days after the media reported on Tsvetkov’s art project, users of the Russian imageboard “Dvach” (2chan) launched a campaign to deanonymize actresses who appear in pornography. After identifying these women with FindFace, Dvach users shared archived copies of their Vkontakte pages, and spammed the women’s families and friends with messages informing them about the discovery. The effort also targeted women registered on the website “Intimcity,” which markets prostitution services.